Merge pull request #1 from stanford-futuredata/master

update the new submissions
stanford-futuredata · May 7, 2019 · 3a347f5 · 3a347f5
2 parents 81002f2 + d756265
commit 3a347f5
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diff --git a/CIFAR10/train/ajay_resnet9_1v100_pytorch.json b/CIFAR10/train/ajay_resnet9_1v100_pytorch.json
@@ -0,0 +1,24 @@
+{
+    "version": "v1.0",
+    "author": "Ajay Uppili Arasanipalai",
+    "authorEmail": "[email protected]",
+    "framework": "PowerAI 1.6.0 + PyTorch 1.0.1",
+    "codeURL": "https://github.com/iyaja/cifar10-fast-2/commit/eb3c84003d8ff8329214a71023fac81475202e28", 
+    "model": "Custom ResNet 9",
+    "hardware": "IBM AC922 + Nvidia Tesla V100 (Nimbix np9g1)",
+    "timestamp": "2019-04-14",
+    "misc": {
+        "optimizer": "SGD with Nesterov Momentum",
+        "momentum": 0.9,
+        "weightDecay": 5e-4,
+        "batchSize": 512,
+        "learningRate": {
+            "type": "piecewiseLinear",
+            "epochs": [0, 5, 24], 
+            "values": [0, 0.4, 0]
+        },
+        "CUDA version": "9.0",
+        "CuDNN version": "7.1.2",
+        "commandLine" : "python dawn.py"
+    }
+}
diff --git a/CIFAR10/train/ajay_resnet9_1v100_pytorch.tsv b/CIFAR10/train/ajay_resnet9_1v100_pytorch.tsv
@@ -0,0 +1,25 @@
+epoch	hours	top1Accuracy
+1	0.00162239	56.39
+2	0.00244334	71.19
+3	0.00325813	72.37
+4	0.00407593	76.11
+5	0.00489309	78.21
+6	0.00571937	72.58
+7	0.00653693	79.36
+8	0.00735919	80.13
+9	0.00817624	82.22
+10	0.00899263	84.93
+11	0.00980781	85.10
+12	0.01062468	86.27
+13	0.01144059	85.79
+14	0.01225792	87.94
+15	0.01307402	85.02
+16	0.01390910	89.27
+17	0.01473466	88.72
+18	0.01555417	89.18
+19	0.01637740	89.46
+20	0.01719761	91.16
+21	0.01802300	89.29
+22	0.01884320	92.86
+23	0.01966557	93.60
+24	0.02048723	94.06
diff --git a/ImageNet/train/setu_resnet50_azure-ndv2_pytorch.json b/ImageNet/train/setu_resnet50_azure-ndv2_pytorch.json
@@ -0,0 +1,40 @@
+{
+	"version": "v1.0",
+	"author": "Setu Chokshi (MS AI MVP | PropertyGuru)",
+	"authorEmail": "[email protected]",
+	"framework": "PyTorch 1.0",
+	"model": "ResNet50",
+	"hardware": "Azure ND40s_v2",
+  "timestamp": "2019-04-13",
+	"costPerHour": 12.24,
+	"optimizer": "SGD with Momentum",
+	"momentum": 0.9,
+	"misc": {
+		"schedule": [{
+				"learning_rate": 1.0,
+				"epochs": 1
+			},
+			{
+				"learning_rate": 2.0,
+				"epochs": 7
+			},
+			{
+				"learning_rate": 0.5,
+				"epochs": 5
+			},
+			{
+				"learning_rate": 0.4375,
+				"epochs": 9
+			},
+			{
+				"learning_rate": 0.004375,
+				"epochs": 2
+			},
+			{
+				"learning_rate": 0.0025,
+				"epochs": 3
+			}
+		]
+	},
+	"usedBlacklist": true
+}
diff --git a/ImageNet/train/setu_resnet50_azure-ndv2_pytorch.tsv b/ImageNet/train/setu_resnet50_azure-ndv2_pytorch.tsv
@@ -0,0 +1,28 @@
+epoch	hours	top1Accuracy	top5Accuracy
+0	0.04286	7.586	19.566
+1	0.06806	17.558	37.538
+2	0.09313	27.152	51.258
+3	0.11811	31.392	57.04
+4	0.14323	27.774	52.056
+5	0.16837	34.108	60.296
+6	0.19342	35.288	61.202
+7	0.21853	37.756	64.208
+8	0.24371	41.028	66.976
+9	0.26875	47.132	73.112
+10	0.2938	46.32	71.77
+11	0.3189	53.772	78.156
+12	0.34431	59.744	82.866
+13	0.5025	56.046	80.606
+14	0.57292	56.53	80.924
+15	0.64316	56.45	80.916
+16	0.7134	60.088	83.382
+17	0.78371	61.03	83.604
+18	0.85462	64.588	86.498
+19	0.9249	63.21	85.43
+20	0.99556	68.418	88.744
+21	1.0662	71.228	90.216
+22	1.13674	71.932	90.566
+23	1.20724	72.892	91.09
+24	1.27757	73.634	91.484
+25	1.58089	75.758	92.978
+26	1.70637	75.89	93.02